An Accurate SAR Imaging Method Based on Generalized Minimax Concave Penalty

Conference: EUSAR 2018 - 12th European Conference on Synthetic Aperture Radar
06/04/2018 - 06/07/2018 at Aachen, Germany

Proceedings: EUSAR 2018

Pages: 6Language: englishTyp: PDF

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Wei, Zhonghao; Xu, Zhilin (University of Chinese Academy of Science & Key Laboratory of Technology in Geo-spatial Information Processing and Application Systems, Institute of Electronics, Chinese Academy of Sciences, China)
Zhang, Bingchen; Han, Bing; Hong, Wen (National Key Laboratory of Microwave imaging Technology & Institute of Electronics, Chinese Academy of Scienecs, P.R. China)
Wu, YiRong (Institute of Electronics, Chinese Academy of Sciences, China)

Sparse signal processing has been applied in synthetic aperture radar (SAR) imaging successfully. As a typical sparse reconstruction model, L1 regularization often underestimates the intensities of the targets. The estimated radar cross section (RCS) is related to the pixel intensity. The underestimation will cause the errors in RCS estimations. In this paper, we present a SAR imaging method based on generalized minimax convex (GMC) penalty, which can avoid the pixel intensity underestimation. The performance of the proposed method is verified using simulations and real data.